As of June 2026, Cargo and Freight Agents has an AI-exposure score of 64/100 (High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Cargo and Freight Agents

64/100
High exposure
LowModerateElevatedHighVery High

More exposed than 79% of the roles we track. Median pay ~US$52,260. About 8,800 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Expedite and route movement of incoming and outgoing cargo and freight shipments in airline, train, and trucking terminals and shipping docks. Take orders from customers and arrange pickup of freight and cargo for delivery to loading platform. Prepare and examine bills of lading to determine shipping charges and tariffs.

Common titles
Air Export SpecialistDrop Shipment ClerkLogistics CoordinatorLogistics Service RepresentativeFreight BrokerIntermodal Dispatcher
Typical preparation
Some Preparation Needed: These occupations usually require a high school diploma. Some previous work-related skill, knowledge, or experience is usually needed. For example, a teller would benefit from experience working directly with the public.
Skills and knowledge
SpeakingCritical ThinkingReading ComprehensionNegotiationTime ManagementMonitoring
Tools and technology
Microsoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft PowerPointMicrosoft WordSAP software
Work context
Face-to-face discussionsTelephoneFrequent contact with othersEmail useDecision latitude

Source: O*NET 29.1 exact occupation - Cargo and Freight Agents, SOC 43-5011.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Cargo and Freight Agents tasks, by AI exposure

Automatable
  • Enter shipping information into a computer by hand or by a hand-held scanner that reads bar codes on goods.
  • Retrieve stored items and trace lost shipments as necessary.
  • Estimate freight or postal rates and record shipment costs and weights.
14 more automatable tasks locked in the report.
Augmentable
  • Assemble containers and crates used to transport items, such as machines or vehicles.
  • Maintain a supply of packing materials.
1 more augmentable task locked in the report.
Durable

No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (85%).

We analyzed all 20 Cargo and Freight Agents tasks — 17 automatable and 3 augmentable. The full task map — every task with exactly what to do about each — is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

Safer adjacent roles

Freight Forwarders
80% skills overlap · Very High exposure · ~US$52,260
74
7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Enter shipping information into a computer by hand or by a hand-held scanner that reads bar codes on goods.". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.